I don't design from the sidelines. I've built this before.

Most companies don't have an AI problem. They have an implementation problem — the tools, the budget, and the ideas are already there; what's missing is the person who ships it. That's the work I do.

I'm Founding CTO of an AI venture-intelligence startup, where I architected and shipped a cloud-native platform — RAG, embeddings, recommendation, and predictive scoring — from prototype to production. I set the engineering operating model and the governance that made it ship predictably.

Before that, I led the innovation partnership with In-Q-Tel — the independent strategic investor that identifies and backs frontier technology for U.S. national security. I secured and led a $5M-plus AI/ML, NLP, and Explainable AI portfolio; integrations delivered 25% higher accuracy and 30% better operational efficiency.

As a Branch Chief for Modeling & Simulation in the U.S. Federal Government, I led AI predictive-analytics teams and delivered mission-critical systems in high-stakes, regulated environments, improving assessment accuracy by 20%.

That's on top of two decades of IT and systems leadership — building, shipping, and running software where being wrong costs more than money.

So when I design your implementation, it's grounded in work I've actually done. I've shipped AI into environments far less forgiving than a growing business. The difference between a strategy and a system is whether anyone builds it. I build it.